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2. The output Y of a binary communication system is a unit-variance Gaussian (Normal) random variable...
3. (40 points) A binary communication system transmits signals s (0) (i = 1, 2). The...
3. (40 points) A binary communication system transmits signals s (0) (i = 1, 2). The receiver samples the received signal r(t) = s(t)+ n(t) at T and obtain the decision statistic r =r(T) = S(T) + n(T) = a, un, where the signal component is either a = + A or a, = -A with A >0 and n is the noise component. Assume that s (6) and s(l) are equally likely to be transmitted and the decision threshold...
(25 points) A binary communication system transmits signals s,() (i1,2). The receiver samples the received signal r() s,()+n(t) at T and obtain the decision statistic r r(T)- a, -+A or a,-A with...
(25 points) A binary communication system transmits signals s,() (i1,2). The receiver samples the received signal r() s,()+n(t) at T and obtain the decision statistic r r(T)- a, -+A or a,-A with A>0 and n is the noise component. Assume that s,(1) and s,() are equally likely to be transmitted and the decision threshold is chosen as zero. If the noise component n is uniformly distributed over [-2, +2] and A-0.8, derive the expression of BER of this system. s,...
(25 points) A binary communication system transmits signals s,(0) (i1,2). The receiver samples the received signal r(t) s,()+n(t) at T and obtain the decision statistic r-r(T) s,(T)+ n(T)-a, +n,...
(25 points) A binary communication system transmits signals s,(0) (i1,2). The receiver samples the received signal r(t) s,()+n(t) at T and obtain the decision statistic r-r(T) s,(T)+ n(T)-a, +n, where the signal component is either a, = +A or a,--A with A >0 and n is the noise component. Assume that s (t) and s,() are equally likely to be transmitted and the decision threshold is chosen as zero. If the noise component n is uniformly distributed over [-2, +2]...
(25 points) A binary communication system transmits signals s,(0) (i1,2). The receiver samples the received signal r(t) s,()+n(t) at T and obtain the decision statistic r-r(T) s,(T)+ n(T)-a, +n,...
(25 points) A binary communication system transmits signals s,(0) (i1,2). The receiver samples the received signal r(t) s,()+n(t) at T and obtain the decision statistic r-r(T) s,(T)+ n(T)-a, +n, where the signal component is either a, = +A or a,--A with A >0 and n is the noise component. Assume that s (t) and s,() are equally likely to be transmitted and the decision threshold is chosen as zero. If the noise component n is uniformly distributed over [-2, +2]...
plt) 0.2 2. The hypothetical communication system uses optimum binary receiver with the on-off signaling. The...
plt) 0.2 2. The hypothetical communication system uses optimum binary receiver with the on-off signaling. The pulse p(t) presented in figure 13 A Calculate the optimum threshold (a) of the decision-making devise B. Find the bit error probability (P.) in the output of optimum receiver if No = 0.00625 W/Hz.
3. (30 points) A binary communication system transmits signals s(t) (i 1,2). The receiver samples the received signal r(t) s(t) + n(t) at T and obtain the decision statistic r(T) S (T) n(T) a + n...
3. (30 points) A binary communication system transmits signals s(t) (i 1,2). The receiver samples the received signal r(t) s(t) + n(t) at T and obtain the decision statistic r(T) S (T) n(T) a + n, where the signal component is either an +A or a2-A with A >0 and n is the noise component. Assume that s1 (t) and s2(t) are equally likely to be transmitted and the decision threshold is chosen as zero. If A 1 and the...
1. Let us consider a digital binary communication system, in which the fol- lowing signal s1(t)...
1. Let us consider a digital binary communication system, in which the fol- lowing signal s1(t) is transmitted for '0' and signal s2(t) is transmitted for '1' and these two signals are equal probability P('O' is transmitted) P(1' is transmitted). For these two signals and their correspond- ing basis functions, answer the following questions [40 points -2 0t<0.5; 0<t<0.5 -1 0.5 <t< 1 2 s2(t) -1 0.5<t1. s1(t) otherwise 0 otherwise 0 0<t<0.5; -1 0.5 <t1. otherwise 1 10t<1 0...
Suppose that X is a Gaussian Random Variable with zero mean and unit variance. Let Y=aX3...
Suppose that X is a Gaussian Random Variable with zero mean and unit variance. Let Y=aX3 + b, a > 0 Determine and plot the PDF of Y
Consider a matched filter receiver for a binary communication system where a binary '1' is represented by a pulse s() as shown below and a binary 0' is represented by st Consider the...
Consider a matched filter receiver for a binary communication system where a binary '1' is represented by a pulse s() as shown below and a binary 0' is represented by st Consider the case when there is no noise, i.e, n(t)0 1. Determine and sketch the output s,() of the matched filter due to the input s(1) and - s(t), respectively 2. What is the sample value of so( atT where T is the pulse duration? 3. Why is it...
The input to a system is a Gaussian random variable below X with zero mean and variance of σ- as ...
The input to a system is a Gaussian random variable below X with zero mean and variance of σ- as shown x System The output of the system is a random variable Y given as follows: -a b, X>a (a) Determine the probability density function of the output Y (b) Now assume that the following random variable is an input to the system at time t: where the amplitude A is a constant and phase s uniformly distributed over (0,2T)....
3. (40 points) A binary communication system transmits signals s (0) (i = 1, 2). The receiver samples the received signal r(t) = s(t)+ n(t) at T and obtain the decision statistic r =r(T) = S(T) + n(T) = a, un, where the signal component is either a = + A or a, = -A with A >0 and n is the noise component. Assume that s (6) and s(l) are equally likely to be transmitted and the decision threshold...
(25 points) A binary communication system transmits signals s,() (i1,2). The receiver samples the received signal r() s,()+n(t) at T and obtain the decision statistic r r(T)- a, -+A or a,-A with A>0 and n is the noise component. Assume that s,(1) and s,() are equally likely to be transmitted and the decision threshold is chosen as zero. If the noise component n is uniformly distributed over [-2, +2] and A-0.8, derive the expression of BER of this system. s,...
(25 points) A binary communication system transmits signals s,(0) (i1,2). The receiver samples the received signal r(t) s,()+n(t) at T and obtain the decision statistic r-r(T) s,(T)+ n(T)-a, +n, where the signal component is either a, = +A or a,--A with A >0 and n is the noise component. Assume that s (t) and s,() are equally likely to be transmitted and the decision threshold is chosen as zero. If the noise component n is uniformly distributed over [-2, +2]...
(25 points) A binary communication system transmits signals s,(0) (i1,2). The receiver samples the received signal r(t) s,()+n(t) at T and obtain the decision statistic r-r(T) s,(T)+ n(T)-a, +n, where the signal component is either a, = +A or a,--A with A >0 and n is the noise component. Assume that s (t) and s,() are equally likely to be transmitted and the decision threshold is chosen as zero. If the noise component n is uniformly distributed over [-2, +2]...
plt) 0.2 2. The hypothetical communication system uses optimum binary receiver with the on-off signaling. The pulse p(t) presented in figure 13 A Calculate the optimum threshold (a) of the decision-making devise B. Find the bit error probability (P.) in the output of optimum receiver if No = 0.00625 W/Hz.
3. (30 points) A binary communication system transmits signals s(t) (i 1,2). The receiver samples the received signal r(t) s(t) + n(t) at T and obtain the decision statistic r(T) S (T) n(T) a + n, where the signal component is either an +A or a2-A with A >0 and n is the noise component. Assume that s1 (t) and s2(t) are equally likely to be transmitted and the decision threshold is chosen as zero. If A 1 and the...
1. Let us consider a digital binary communication system, in which the fol- lowing signal s1(t) is transmitted for '0' and signal s2(t) is transmitted for '1' and these two signals are equal probability P('O' is transmitted) P(1' is transmitted). For these two signals and their correspond- ing basis functions, answer the following questions [40 points -2 0t<0.5; 0<t<0.5 -1 0.5 <t< 1 2 s2(t) -1 0.5<t1. s1(t) otherwise 0 otherwise 0 0<t<0.5; -1 0.5 <t1. otherwise 1 10t<1 0...
Consider a matched filter receiver for a binary communication system where a binary '1' is represented by a pulse s() as shown below and a binary 0' is represented by st Consider the case when there is no noise, i.e, n(t)0 1. Determine and sketch the output s,() of the matched filter due to the input s(1) and - s(t), respectively 2. What is the sample value of so( atT where T is the pulse duration? 3. Why is it...
The input to a system is a Gaussian random variable below X with zero mean and variance of σ- as shown x System The output of the system is a random variable Y given as follows: -a b, X>a (a) Determine the probability density function of the output Y (b) Now assume that the following random variable is an input to the system at time t: where the amplitude A is a constant and phase s uniformly distributed over (0,2T)....
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